The Impact of Artificial Intelligence on Optimizing Diagnosis and Treatment Plans for Rare Genetic Disorders.

Rare genetic disorders (RDs), characterized by their low prevalence and diagnostic complexities, present significant challenges to healthcare systems. This article explores the transformative impact of artificial intelligence (AI) and machine learning (ML) in addressing these challenges. It emphasizes the need for accurate and early diagnosis of RDs, often hindered by genetic and clinical heterogeneity.

Policy space and pro-health equity national policymaking: a case study of Myanmar during political transition (2006-16).

Health equity is central to achieving sustainable development goals and COVID-19 has emphasized its importance. Ensuring health equity is prominent in policy discussions and decision-making is a critical challenge in all countries. Understanding the policy space for actors to promote health equity in the policy process may help to strengthen prioritization of equity in policy and programme discussions and decisions.

The interplay between cyclic AMP, MAPK, and NF-κB pathways in response to proinflammatory signals in microglia.

Cyclic AMP is an important intracellular regulator of microglial cell homeostasis and its negative perturbation through proinflammatory signaling results in microglial cell activation. Though cytokines, TNF-α and IL-1β, decrease intracellular cyclic AMP, the mechanism by which this occurs is poorly understood. The current study examined which signaling pathways are responsible for decreasing cyclic AMP in microglia following TNF-α stimulation and sought to identify the role cyclic AMP plays in regulating these pathways.